We're seeking an experienced Senior Machine Learning Engineer with advanced technical skills to join our team at EPAM Vietnam. The role involves building and maintaining our product recommender systems with a focus on MLOps and optimizing machine learning algorithms. In addition to this, your strong technical skills will be the key factor in driving the team toward success.

#LI-DNI

Responsibilities

• Build and maintain our product recommender systems, with a focus on MLOps (e.g. deployment & performance monitoring) and optimizing machine learning algorithms in PySpark
• Coordinate with cross-functional teams to understand business requirements and translate them into technical solutions
• Develop and maintain data pipelines and ETL processes to feed data into the recommendation systems
• Analyze and evaluate the performance of the recommendation systems and identify opportunities for improvement
• Collaborate with other data scientists and engineers to develop innovative machine learning solutions that drive business value
• Stay up to date with the latest developments in data science and machine learning technologies and leverage them to improve the recommendation systems

• More than 4 years of experience in machine learning engineering with a bachelor's degree in Computer Science, Information Technology, Software Engineering or equivalent
• Strong experience in Python programming language and Big Data frameworks such as Pyspark
• Familiarity with MLOps tools and techniques, such as model deployment, monitoring and performance optimization
• Knowledge of Azure cloud computing platforms (e.g. Blob storage, Databricks, etc.)
• Experience in Vector databases and building recommendation systems in an e-commerce environment is a plus
• Strong problem-solving skills, with the ability to identify and resolve technical issues in a timely manner
• Good understanding of software engineering and DevOps skills (Docker, Git, CI/CD, etc.)

• By choosing EPAM Vietnam, you're getting a job at a Vietnam Best Workplace™ certifiedcompany (2022-23 and 2023-24)
• You'll work with the latest and most advanced technologies on exciting global projects with a supportive multicultural team where your voice matters
• We prioritize a healthy work-life balance with a flexible hybrid working model and generous annual leave of up to 19 days
• We offer a transparent career path and an individual roadmap to engineer your future & accelerate your journey
• At EPAM, you can find vast opportunities for self-development: access to over 25,000 online courses and libraries from industry leaders, English classes, mentoring programs, partial grants of certification, and experience exchange with colleagues around the world. You will learn, contribute, and grow with us

• - General interview with a recruiter
• - Technical interview with our technology experts
• - Manager interview or Offer interview with a hiring manager